Urban landcover classification from multispectral image data using optimized AdaBoosted random forests
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2016.1274443
Abstract: ABSTRACT With an ever growing need to classify multispectral images, the accuracy of the classification becomes a matter of concern, especially when mapping heterogeneous environments such as urban areas. Not all of the features of… read more here.
Keywords: adaboosted random; random forests; multispectral image; classification ... See more keywords
A novel ground truth multispectral image dataset with weight, anthocyanins, and Brix index measures of grape berries tested for its utility in machine learning pipelines
Sign Up to like & getrecommendations! Published in 2022 at "GigaScience"
DOI: 10.1093/gigascience/giac052
Abstract: Abstract Background The combination of computer vision devices such as multispectral cameras coupled with artificial intelligence has provided a major leap forward in image-based analysis of biological processes. Supervised artificial intelligence algorithms require large ground… read more here.
Keywords: ground truth; multispectral image; brix index; dataset ... See more keywords
Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3140211
Abstract: Hyperspectral and multispectral image fusion aims to fuse a low-spatial-resolution hyperspectral image (HSI) and a high-spatial-resolution multispectral image to form a high-spatial-resolution HSI. Motivated by the success of model- and deep learning-based approaches, we propose… read more here.
Keywords: subspace based; model; fusion; multispectral image ... See more keywords
NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3189551
Abstract: The fusion of high-resolution multispectral image (HrMSI) and low-resolution hyperspectral image (LrHSI) has been acknowledged as a promising method for generating a high-resolution hyperspectral image (HrHSI), which is also termed to be an essential part… read more here.
Keywords: fusion; multispectral image; model; nmf dunet ... See more keywords
SelfS2: Self-Supervised Transfer Learning for Sentinel-2 Multispectral Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3224987
Abstract: The multispectral image captured by the Sentinel-2 satellite contains 13 spectral bands with different resolutions, which may hider some of the subsequent applications. In this article, we design a novel method to super-resolve 20- and… read more here.
Keywords: network; multispectral image; super resolution; self supervised ... See more keywords
Hyperspectral and Multispectral Image Fusion via Variational Tensor Subspace Decomposition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3094558
Abstract: The fusion of hyperspectral image (HSI) and multispectral image (MSI) refers to enhance the spatial resolution of HSI with the help of a corresponding MSI that has a high spatial resolution to finally obtain an… read more here.
Keywords: subspace decomposition; image; variational tensor; fusion ... See more keywords
Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3134317
Abstract: Compared with single-band images, multispectral images with multiple wavelengths contain more spectral information and can fully reflect the detailed features of ground objects in different bands. To synthesize the feature information, a method of multispectral… read more here.
Keywords: multispectral image; principal component; enhancement based; image enhancement ... See more keywords
Multispectral Image Matching Considering Absolute Phase Consistency Gradient and Log-Polar Description
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3221955
Abstract: Due to different imaging mechanisms bringing significant nonlinear radiation differences (NRDs), traditional feature matching methods are difficult to obtain satisfactory results for multispectral images. The key to multispectral image matching is eliminating the NRDs and… read more here.
Keywords: log polar; multispectral image; gradient; histogram ... See more keywords
Multispectral Image Demosaicking Based on Novel Spectrally Localized Average Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3139581
Abstract: In thisletter, we propose a new generic multispectral image demosaicking algorithm using adaptive spectral correlation. Our proposed algorithm defines the spectrally localized average image (SLAI) corresponding to each spectral band, which has a strong spectral… read more here.
Keywords: localized average; demosaicking based; image demosaicking; multispectral image ... See more keywords
Joint Nonlocal, Spectral, and Similarity Low-Rank Priors for Hyperspectral–Multispectral Image Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3203294
Abstract: The fusion of a low-spatial-and-high-spectral resolution hyperspectral image (HSI) with a high-spatial-and-low-spectral resolution multispectral image (MSI) allows synthesizing a high-resolution image (HRI), supporting remote sensing applications, such as disaster management, material identification, and precision agriculture.… read more here.
Keywords: fusion; low rank; multispectral image; similarity ... See more keywords
Deep Hyperspectral and Multispectral Image Fusion via Probabilistic Matrix Factorization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244992
Abstract: Deep learning methods are popular for hyperspectral and multispectral image (HSI-MSI) fusion to obtain a high-resolution HSI. However, most of them are unsatisfactory due to limited generalization ability and poor interpretability. This article proposes a… read more here.
Keywords: matrix; fusion; multispectral image; matrix factorization ... See more keywords